CN106052852B - A kind of detection method and device of pulse acoustical signal - Google Patents
A kind of detection method and device of pulse acoustical signal Download PDFInfo
- Publication number
- CN106052852B CN106052852B CN201610384117.3A CN201610384117A CN106052852B CN 106052852 B CN106052852 B CN 106052852B CN 201610384117 A CN201610384117 A CN 201610384117A CN 106052852 B CN106052852 B CN 106052852B
- Authority
- CN
- China
- Prior art keywords
- acoustical signal
- sampling
- pulse
- signal
- channel
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01H—MEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC OR INFRASONIC WAVES
- G01H17/00—Measuring mechanical vibrations or ultrasonic, sonic or infrasonic waves, not provided for in the preceding groups
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Measurement Of Mechanical Vibrations Or Ultrasonic Waves (AREA)
Abstract
The embodiment of the invention discloses a kind of detection methods of pulse acoustical signal, for improving the accuracy of pulse acoustical signal processing.The embodiment of the present invention includes: the pulse acoustical signal in channel each in microphone array is sampled, the sampling acoustical signal in each channel is obtained；Judge if so, first carrying out noise reduction process to the sampling acoustical signal, then to calculate the frame energy of the sampling acoustical signal after noise reduction process with the presence or absence of strong background noise in the sampling acoustical signal；If it is not, then directly calculating the frame energy of the sampling acoustical signal；The pulse acoustical signal in each channel is detected according to the existence of the frame energy of the sampling acoustical signal and the sampling acoustical signal.The embodiment of the present invention also provides a kind of detection device of pulse acoustical signal, for improving the accuracy of pulse acoustical signal processing.
Description
Technical field
The present invention relates to acoustical signal processing technical field more particularly to a kind of detection method and device of pulse acoustical signal.
Background technique
When being detected to cannon sound, shot, explosive sound isopulse sound, orienting, position, need first to believe pulse sound
It number is reliably detected and is extracted.
The method generally used when detecting at present to pulse sound has power spectrum detection method, energy measuring method, statistics inspection
Survey method, constant false alarm rate detection method etc..Power spectrum detection method carries out Short Time Fourier Transform to signal, seeks the power of every segment signal
The power spectrum of the power spectrum for paying close attention to frequency range and whole segment signal is done ratio by spectrum, when the ratio is greater than certain threshold value, it is believed that have
Target occurs；Energy measuring method seeks the short-time energy of signal, when the energy is greater than certain threshold value, it is believed that target pulse sound
Signal occurs, or when the ratio of current short-time energy and previous short-time energy is greater than certain threshold value, it is believed that target pulse sound is believed
Number occur；Statistic mixed-state method, than carrying out target detection, there is the maximum likelihood of target according to Maximum-likelihood estimation in current slot
When the ratio of estimation and aimless Maximum-likelihood estimation is greater than certain threshold value, it is believed that target pulse acoustical signal occurs；It is permanent empty
The threshold value that alert rate detection method uses can change with background environment, can with the power, energy of observation in certain period of time,
The statistics such as variance are as adaptive threshold.
However, these existing pulse sound detection algorithms of comprehensive analysis, their common features are to require a threshold value,
Or rule of thumb given hard -threshold, or adaptive change is soft after being calculated using certain method environmental data
These detection algorithms can be referred to as single threshold value detection algorithm by threshold value.This single threshold value detection algorithm detection probability exists
It is determined completely by the size of threshold value and sound source sound pressure level under region spaciousness, environment quiet, calm ideal conditions, detects signal
Complete impulse waveform can be extracted by directly carrying out continuation in time domain afterwards.When acoustic detection implantation of device is in very noisies such as oil machines
The signal received beside source will drown out in ambient noise, and wind noise will increase acoustic detection equipment under the conditions of windy day
False alarm rate is detected, these, which dislike the conditions omited, will seriously affect acoustic detection equipment to the detection probability and detection accuracy of pulse sound,
And further influence the integrality for extracting pulse acoustical signal.
Summary of the invention
The embodiment of the invention provides a kind of detection methods of pulse acoustical signal, can not be influenced, be subtracted by ambient noise
The detection false alarm rate of few acoustic detection equipment, promotes the probability and accuracy of detection.
A kind of detection method for pulse acoustical signal that first aspect of the embodiment of the present invention provides, includes the following steps:
Step 1: the pulse acoustical signal in channel each in microphone array being sampled, the sampling sound letter in each channel is obtained
Number；
Step 2: judging with the presence or absence of strong background noise in the sampling acoustical signal, if so, first believing the sampling sound
Number noise reduction process is carried out, then calculates the frame energy of the sampling acoustical signal after noise reduction process；If it is not, being adopted described in then directly calculating
The frame energy of sample acoustical signal；
Step 3: being detected according to the existence of the frame energy of the sampling acoustical signal and the sampling acoustical signal each logical
The pulse acoustical signal in road.
In conjunction with the embodiment of the present invention in a first aspect, in the first implementation of first aspect of the embodiment of the present invention,
Detecting that the pulse sound in each channel is believed according to the frame energy of the sampling acoustical signal and the existence of the sampling acoustical signal
After number, further includes: when meeting prerequisite, determine the pulse acoustical signal in each channel detected for target pulse sound letter
Number.
In conjunction with the first implementation of first aspect of the embodiment of the present invention, the second of first aspect of the embodiment of the present invention
It is described when meeting prerequisite, to determine that the pulse acoustical signal in each channel of detection is target pulse sound in kind implementation
Before signal further include: determine whether to meet prerequisite；
It is described to determine whether that meeting prerequisite includes:
Whether the relative coefficient of the pulse acoustical signal in any two channel in the pulse acoustical signal in each channel of determining detection
Greater than the first preset threshold, if not, it is determined that be unsatisfactory for prerequisite；If so, determining the pulse sound signal length in each channel
Whether the second preset threshold is greater than, if not, it is determined that be unsatisfactory for prerequisite；If so, determining the pulse acoustical signal in each channel
Signal-to-noise ratio whether be greater than third predetermined threshold value, if not, it is determined that be unsatisfactory for prerequisite, if so, determination meet preset item
Part.
In conjunction with second of implementation of first aspect of the embodiment of the present invention, in the third of first aspect of the embodiment of the present invention
It plants in implementation, after determination meets prerequisite, the target pulse acoustical signal is saved in caching, and record institute
Initial position and the end position of target pulse acoustical signal are stated, for carrying out according to the initial position and the end position
The extraction of target pulse acoustical signal；
After determination is unsatisfactory for prerequisite, each channel pulse acoustical signal that will test out is removed, and re-executes step
Rapid 1.
In conjunction with the embodiment of the present invention in a first aspect, in the 4th kind of implementation of first aspect of the embodiment of the present invention,
It whether there is strong background noise in the judgement sampling acoustical signal, if so, first carrying out noise reduction to the sampling acoustical signal
Processing includes:
Judge that the time-domain signal of the sampling acoustical signal whether there is periodically, if so, to the sampling acoustical signal
Time-domain signal carries out frequency-domain transform, if obtaining the line spectrum with harmonic relationships, carries out to the line spectrum with harmonic relationships
Inhibit.
In conjunction with the embodiment of the present invention in a first aspect, in the 4th kind of implementation of first aspect of the embodiment of the present invention,
It whether there is strong background noise in the judgement sampling acoustical signal, if so, first carrying out noise reduction to the sampling acoustical signal
Processing includes:
When the existence of the sampling acoustical signal is 0 or 1, if the frame energy of the sampling acoustical signal is greater than preset
Peak, it is determined that present sample acoustical signal is pulse acoustical signal, and present sample acoustical signal is put into the second caching, is recorded
The initial point position of present sample acoustical signal；
If the frame energy of the sampling acoustical signal is greater than preset median and is less than preset peak, it is determined that current
Sampling acoustical signal is doubtful pulse acoustical signal, and re-execute the steps 1；
If the frame energy of the sampling acoustical signal is greater than preset minimum and is less than preset median, it is determined that current
Sampling acoustical signal is noise, and re-execute the steps 1；
When the existence of the sampling acoustical signal is 2, if the frame energy of the sampling acoustical signal is greater than in preset
Between value and be less than the peak that is set to, it is determined that present sample acoustical signal is pulse acoustical signal, and present sample acoustical signal is put
Enter in caching；
If the frame energy of the sampling acoustical signal is greater than preset minimum and is less than the median being set to, record is current
The end point position of acoustical signal is sampled, and is calculated currently according to the initial point position of present sample acoustical signal and end point position
Sample the length of acoustical signal；
When the existence of the sampling acoustical signal is 3, postponed according to the length of calculated present sample acoustical signal
Deposit middle extraction pulse acoustical signal.
The detection device for a kind of pulse acoustical signal that second aspect of the embodiment of the present invention provides, comprising: sampling module is used for
The pulse acoustical signal in channel each in microphone array is sampled, the sampling acoustical signal in each channel is obtained；
Judgment module, for judging with the presence or absence of strong background noise in the sampling acoustical signal, if so, first being adopted to described
Sample acoustical signal carries out noise reduction process, then calculates the frame energy of the sampling acoustical signal after noise reduction process；If it is not, then directly calculating
The frame energy of the sampling acoustical signal；
Detection module, for being detected according to the frame energy of the sampling acoustical signal and the existence of the sampling acoustical signal
The pulse acoustical signal in each channel out.
In conjunction with the second aspect of the embodiment of the present invention, in the first implementation of second aspect of the embodiment of the present invention,
Described device further includes the first determining module, first determining module, for when meeting prerequisite, determines and to detect
The pulse acoustical signal in each channel is target pulse acoustical signal.
In conjunction with the first implementation of second aspect of the embodiment of the present invention, the second of second aspect of the embodiment of the present invention
In kind implementation, described device further includes the second determining module, and second determining module is used to determine whether to meet preset
Condition, second determining module are specifically used for the pulse sound in any two channel in the pulse acoustical signal for determining each channel of detection
Whether the relative coefficient of signal is greater than the first preset threshold, if not, it is determined that is unsatisfactory for prerequisite；If so, determining each
Whether the pulse sound signal length in channel is greater than the second preset threshold, if not, it is determined that be unsatisfactory for prerequisite；If so, really
Whether the signal-to-noise ratio of the pulse acoustical signal in fixed each channel is greater than third predetermined threshold value, if not, it is determined that it is unsatisfactory for prerequisite, if
It is, it is determined that meet prerequisite.
In conjunction with second of implementation of second aspect of the embodiment of the present invention, in the third of second aspect of the embodiment of the present invention
In kind of implementation, described device further includes preserving module and removes module, the preserving module be used for determine meet it is preset
After condition, the target pulse acoustical signal is saved in caching, and records the initial position of the target pulse acoustical signal
And end position, it is described with the extraction for carrying out target pulse acoustical signal according to the initial position and the end position
It removes module to be used for, after determination is unsatisfactory for prerequisite, each channel pulse acoustical signal that will test out is removed.
In conjunction with the second aspect of the embodiment of the present invention, in the 4th kind of implementation of second aspect of the embodiment of the present invention,
The judgment module is specifically used for judging that the time-domain signal of the sampling acoustical signal whether there is periodically, if so, to described
The time-domain signal for sampling acoustical signal carries out frequency-domain transform, if obtaining the line spectrum with harmonic relationships, to described there is harmonic wave to close
The line spectrum of system is inhibited.
In conjunction with the second aspect of the embodiment of the present invention, in the 5th kind of implementation of second aspect of the embodiment of the present invention,
The detection module is specifically used for:
When the existence of the sampling acoustical signal is 0 or 1, if the frame energy of the sampling acoustical signal is greater than preset
Peak, it is determined that present sample acoustical signal is pulse acoustical signal, and present sample acoustical signal is put into the second caching, is recorded
The initial point position of present sample acoustical signal；
If the frame energy of the sampling acoustical signal is greater than preset median and is less than preset peak, it is determined that current
Sampling acoustical signal is doubtful pulse acoustical signal, and re-execute the steps 1；
If the frame energy of the sampling acoustical signal is greater than preset minimum and is less than preset median, it is determined that current
Sampling acoustical signal is noise, and re-execute the steps 1；
When the existence of the sampling acoustical signal is 2, if the frame energy of the sampling acoustical signal is greater than in preset
Between value and be less than the peak that is set to, it is determined that present sample acoustical signal is pulse acoustical signal, and present sample acoustical signal is put
Enter in caching；
If the frame energy of the sampling acoustical signal is greater than preset minimum and is less than the median being set to, record is current
The end point position of acoustical signal is sampled, and is calculated currently according to the initial point position of present sample acoustical signal and end point position
Sample the length of acoustical signal；
When the existence of the sampling acoustical signal is 3, postponed according to the length of calculated present sample acoustical signal
Deposit middle extraction pulse acoustical signal.
The method of a kind of pulse acoustical signal processing provided in an embodiment of the present invention, including to channel each in microphone array
Pulse acoustical signal is sampled, and the sampling acoustical signal in each channel is obtained, and judges to make an uproar in the sampling acoustical signal with the presence or absence of strong background
Sound if so, first carrying out noise reduction process to the sampling acoustical signal, then calculates the frame energy of the sampling acoustical signal after noise reduction process
Amount；If it is not, the frame energy of the sampling acoustical signal is then directly calculated, according to the frame energy of the sampling acoustical signal and the sampling acoustical signal
Existence detect the pulse acoustical signal in each channel, compared with the existing technology, the embodiment of the present invention is in detection pulse sound letter
Number when can carry out noise reduction process, influence of the noise in environment to testing result can be effectively excluded, to promote detection
The probability and accuracy of pulse acoustical signal.
Detailed description of the invention
Fig. 1 is the first embodiment flow chart of steps of pulse sound signal detecting method provided by the present invention；
Fig. 2 is microphone array structural schematic diagram provided by the present invention；
Fig. 3 is the second embodiment flow chart of steps of pulse sound signal detecting method provided by the present invention；
Fig. 4 is the time domain waveform of oil machine noise provided by the present invention；
Fig. 5 is the frequency-domain waveform figure of oil machine noise provided by the present invention；
Fig. 6 is the time domain waveform of the sampling acoustical signal before noise suppressed provided by the present invention；
Fig. 7 is the time domain waveform of the sampling acoustical signal after noise suppressed provided by the present invention；
Fig. 8 is the 3rd embodiment flow chart of steps of pulse sound signal detecting method provided by the present invention；
Fig. 9 is the time domain waveform of 3 channel pulse acoustical signals provided by the present invention；
Figure 10 is the power spectrum figure of 3 channel pulse acoustical signals provided by the present invention；
Figure 11 is pulse sound signal reverberation waveform diagram provided by the present invention；
Figure 12 is the schematic structural diagram of the first embodiment of pulse sound signal supervisory instrument provided by the present invention；
Figure 13 is the schematic structural diagram of the second embodiment of pulse sound signal supervisory instrument provided by the present invention.
Specific embodiment
The embodiment of the invention provides a kind of methods for being able to ascend pulse acoustical signal processing correctness, shown in the present embodiment
Pulse sound signal detecting method be applied to pulse sound signal supervisory instrument harmony signal detector.
In order to enable those skilled in the art to better understand the solution of the present invention, below in conjunction in the embodiment of the present invention
Attached drawing, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described embodiment is only
The embodiment of a part of the invention, instead of all the embodiments.Based on the embodiments of the present invention, ordinary skill people
The model that the present invention protects all should belong in member's every other embodiment obtained without making creative work
It encloses.
Description and claims of this specification and the (if present)s such as term " first " in above-mentioned attached drawing, " second "
It is to be used to distinguish similar objects, without being used to describe a particular order or precedence order.It should be understood that the number used in this way
According to being interchangeable under appropriate circumstances, so as to the embodiments described herein can in addition to the content for illustrating or describing herein with
Outer sequence is implemented.In addition, term " includes " and " having " and their any deformation, it is intended that cover non-exclusive packet
Contain, for example, what the process, method, system, product or equipment for containing a series of steps or units were not necessarily limited to be clearly listed
Those step or units, but may include be not clearly listed or it is intrinsic for these process, methods, product or equipment
Other step or units.
The first embodiment of pulse acoustical signal processing method in the embodiment of the present invention is introduced first below, the pulse acoustical signal
Detection method can be applied in military field, for detecting the pulse acoustical signal of shot, cannon sound, explosive sound.
As shown in Figure 1, the detection method of the pulse acoustical signal includes:
Step 101 samples the pulse acoustical signal in channel each in microphone array, obtains the sampling sound letter in each channel
Number.
In the present embodiment, the pickup of signal is completed in the form of more microphones form array first, obtains each channel
Pulse acoustical signal.Array structure composition includes 4 microphone array element Isosorbide-5-Nitrae root horizontal array bars 2, referring specifically to Fig. 2.Then right
Each microphone channel is sampled by frame, and frame length is rule of thumb set, and has just been started to acquire several frame data and is not processed, only into
Row accumulation, sample frequency can be preset.
It should be noted that in other embodiments, also needing to carry out parameter initialization, parameter before executing step 1
Including threshold value PWMTH, frame energy in signal existence ST, frame energy threshold PWTH, frame energy Low threshold PWLTH, frame energy
High threshold PWHTH, array signal correlation coefficient threshold CFTH, frequency domain snr threshold FSNRTH, maximum impulse wave persistence length
Threshold value MAXLS, signal existence ST are initially 0, and frame energy threshold PWTH is initially empirically determined value or last time
Value before equipment shutdown, PWLTH=1.5 × PWTH, PWMTH=3 × PWTH, PWHTH=6 × PWTH, correlation coefficient threshold
CFTH=0.3, frequency domain snr threshold FSNRTH=7dB, maximum impulse wave persistence length threshold value MAXLS=0.5 × fs, fs are
Sample rate.
Step 102 judges with the presence or absence of strong background noise in the sampling acoustical signal, if so, 103 are thened follow the steps, if
It is no, then follow the steps 104；
Step 103 first carries out noise reduction process to the sampling acoustical signal, then calculates the letter of the sampling sound after noise reduction process
Number frame energy；
Step 104, the frame energy for directly calculating the sampling acoustical signal；
In the present embodiment, by the analysis to existing detection technique, unite when signal detection using signal time domain
Metering or frequency domain statistic, so must carry out certain processing to sampled signal extracts the amount that can be used for detecting, this hair
It is bright using the energy for seeking certain frame length time-domain signal, calculation formula is as follows:
In formula (2), N is frame length, x (i), i=1 ... N sequence of time-domain samples, | | absolute value is sought in expression.
Strong background noise in the present embodiment includes the noise of oil machine noise, Vehicle Engine Noise this kind, acoustic detection
Equipment needs to be placed on when in use in many cases beside power generation oil machine, or is placed on the roadside of running car, this can all make
At there are strong background noises in environment near acoustic detection equipment, when having pulsed sound sending, microphone array is arrived in addition to that can pick up
Pulsed sound can also pick up strong background noise signal, will lead to useful pulse sound and be submerged in strong noise background completely, such as
For fruit without processing, manually vision can not all find pulse acoustical signal, be difficult the arteries and veins being tested with by automatic detection algorithm
Acoustical signal is rushed, so strong background noise inhibition must be carried out.
Step 105 detects respectively according to the frame energy of the sampling acoustical signal and the existence of the sampling acoustical signal
The pulse acoustical signal in channel.
The second embodiment of pulse sound signal detecting method provided by the present invention is described below, as shown in figure 3,
The detection method of the pulse acoustical signal includes:
Step 201 samples the pulse acoustical signal in channel each in microphone array, obtains the sampling sound letter in each channel
Number.
The method that the executive mode of step 201 can refer to step 101 in the present embodiment, does not limit specifically specifically herein
It is fixed.
Step 202 judges that the time-domain signal of the sampling acoustical signal whether there is periodically, if so, thening follow the steps
203。
In the present embodiment, sampling in acoustical signal may include strong background noise, and strong background noise includes oil machine noise, vehicle
The noise of engine noise this kind can pass through since the time-domain signal of strong background noise has the characteristics that periodic
Whether the time-domain signal of judgement sampling acoustical signal whether there is periodically, so that it is determined that including that strong background is made an uproar in sampling acoustical signal
Sound.Such as when oil machine the operation is stable, it is as shown in Figure 4 that sampling obtains time-domain signal, it can be seen that has the apparent period
Property.
Step 203 carries out frequency-domain transform to the time-domain signal of the sampling acoustical signal, if obtaining the line with harmonic relationships
Spectrum, then inhibit the line spectrum with harmonic relationships.
It in the present embodiment, is illustrated so that strong background noise is oil machine noise as an example, includes when determining in sampling acoustical signal
When oil machine noise, it is as shown in Figure 5 that frequency-region signal is obtained to the time-domain signal progress Fourier transformation of oil machine noise, it can be seen that tool
There is apparent line spectrum feature, and all line spectral frequencies are all based on the same fundamental frequency, the fundamental frequency of line spectrum is 25Hz in Fig. 5,
Acoustic signals can change after air borne, and the variation of harmonic relationships is no more than 1Hz, this kinds of noise main energetic all collects
In on the line spectrum with harmonic relationships, as long as so eliminating most of noise after inhibiting to line spectrum.
This line spectrum noise with harmonic wave is inhibited to find out harmonic wave collection firstly the need of in frequency domain, it is true to each harmonic
Determine narrow band bandwidth, in entire spectral range, retain the corresponding amplitude of each Frequency point except each narrow band bandwidth, in each narrow band bandwidth
The corresponding amplitude of each Frequency point using batten difference method determine, finally carry out frequency domain inverse transformation obtain time domain waveform, i.e.,
For the signal after noise suppressed.
When line-spectrum detection, signal spectrum is normalized first, with the following method search spectrum peak:
1. detects the maximum local_max in frequency spectrum spectrum；
2. respectively finds minimum a local_min1 and localmin2 in maximum Dynamic Neighborhood, if 2 ×
Local_max/ (local_min1+localmin2) is greater than some threshold value, it is judged that spectral peak is significantly, to can choose.
3. carries out the detection of harmonic wave collection according to following formula:
|frequency(k)-fm×imk|≤ε (2)
Wherein frequency (k) indicates the corresponding frequency of spectral peak, fmThe fundamental frequency assumed that, imkCorresponding overtone order, ε are
The threshold value of setting.If detecting some frequencies and a certain specific frequency having apparent harmonic relationships, then it is assumed that detect one it is humorous
Wave collection, while finding corresponding fundamental frequency.
When harmonic relationships are not present in signal, the biggish line spectrum of amplitude is inhibited.Fig. 6, which is shown, have been collected by force
The pulse sound time-domain signal of ambient noise, as can be seen from the figure pulse sound Signal-to-Noise is lower, is unfavorable for target detection, figure
7 show the time-domain signal after noise suppressed, and the biggish promotion that as can be seen from the figure pulse sound Signal-to-Noise obtains has
Conducive to the work of subsequent target detection.
Step 204, after inhibiting to the line spectrum with harmonic relationships, calculate it is described sampling acoustical signal frame energy
Amount；
Step 205 detects respectively according to the frame energy of the sampling acoustical signal and the existence of the sampling acoustical signal
The pulse acoustical signal in channel.
In the present embodiment, step 204 includes:
S2051, when it is described sampling acoustical signal existence be 0 or 1 when, if it is described sampling acoustical signal frame energy be greater than
Preset peak, it is determined that present sample acoustical signal is pulse acoustical signal, and present sample acoustical signal is put into the second caching
In, record the initial point position of present sample acoustical signal；If it is described sampling acoustical signal frame energy be greater than preset median and
Less than preset peak, it is determined that present sample acoustical signal is doubtful pulse acoustical signal, and re-execute the steps 1；If described
The frame energy for sampling acoustical signal is greater than preset minimum and is less than preset median, it is determined that present sample acoustical signal is to make an uproar
Sound, and it re-execute the steps 1；
S2052, when the existence of the sampling acoustical signal is 2, if the frame energy of the sampling acoustical signal be greater than it is pre-
If median and be less than the peak that is set to, it is determined that present sample acoustical signal is pulse acoustical signal, and by present sample sound
Signal is put into caching；If the frame energy of the sampling acoustical signal is greater than preset minimum and is less than the median being set to,
The end point position of present sample acoustical signal is recorded, and is counted according to the initial point position of present sample acoustical signal and end point position
Calculate the length of present sample acoustical signal；
S2053, when it is described sampling acoustical signal existence be 3 when, according to the length of calculated present sample acoustical signal
Degree extracts pulse acoustical signal from caching.
It should be noted that the pulse acoustical signal that the sound sources such as cannon generate is not ideal pulse sound, in the time domain can
Continue regular hour length, experienced from no signal, signal occurs, signal is lasting, signal terminates such signal there are shapes
State course, corresponding short time frame energy can also undergo the signal energy state course as low energy, high-energy, the low energy,
So binding signal existence and signal energy state course propose to sample the detection of double states in pulse acoustical signal processing
Method, signal energy state are determined that signal energy state is controlled by high, medium and low frame energy threshold (PWLTH, PWMTH, PWHTH)
The evolution of signal existence.
What microphone received before pulse acoustical signal occurs is all that ambient noise signal frame energy is lower, so setting low frame
Energy threshold indicates environmental noise power, indicates that doubtful signal occurs when frame energy is greater than low frame energy threshold, by signal
Duration impulse acoustical signal necessarily will appear bigger frame energy, so when frame energy be greater than high frame energy threshold when indicate determine
Signal occurs, and after determining that signal occurs, continuing frame energy greater than middle frame energy threshold indicates that persistent signal occurs, when frame energy is small
Indicate that signal terminates when middle frame energy threshold, detection finishes.
A certain size caching buff1 is set, storage environment noise data is used for, takes out ambient noise when buff1 is full
Data calculate ambient noise average energy, as frame energy threshold PWTH.Since the influence pulse sound of region, landform is believed
Different degrees of reverberation can be generated when number being transferred to microphone receiving area, causes smear longer, so frame energy in setting
Thresholding PWMTH terminates to detect for signal, and PWMTH is more larger than for detecting low frame energy threshold PWLMTH when signal occurs,
The hangover of signal can be reduced to a certain extent in this way.Biggish caching buff2 is set, for storing the pulse being confirmed
Acoustical signal, buff2 will not be filled with after pulse acoustical signal processing, so initial point position X1 and end point by recording
Signal is taken out in X2 determination in position from buff2.
Signal extraction finishes and signal existence ST, initial point position X1, end point position after further confirming that
X2, which is reset, to be resetted.
It is the flow diagram of the 3rd embodiment of pulse sound detection method of the present invention referring to Fig. 8, Fig. 8.
Based on the first embodiment of pulse sound detection method, this method further include:
Step 106 when meeting prerequisite, determines that the pulse acoustical signal in each channel detected is that target pulse sound is believed
Number.
Wherein it is determined that the step of meeting prerequisite, includes:
1061, the relative coefficient of the pulse acoustical signal in any two channel in the pulse acoustical signal in each channel of detection is determined
Whether the first preset threshold is greater than, if not, it is determined that be unsatisfactory for prerequisite；If so, determining the pulse acoustical signal in each channel
Whether length is greater than the second preset threshold, if not, it is determined that is unsatisfactory for prerequisite；If so, determining the pulse sound in each channel
Whether the signal-to-noise ratio of signal is greater than third predetermined threshold value, if not, it is determined that is unsatisfactory for prerequisite, meets in advance if so, determining
Set condition.
It should be noted that by signal detection and the pulse sound that extracts sometimes and target pulse acoustical signal, herein
Target pulse acoustical signal includes cannon sound, shot or explosive sound, after noise signal caused by natural wind is received by microphone
Sometimes and a kind of pulse sound, so needing to further confirm that the signal of extraction.The present embodiment uses multichannel microphone array
First signal correlation method differentiates whether the pulse sound detected is wind noise.It is if each channel microphone array element is collected
The pulse sound of the same target, then should have very strong correlation；And wind noise is possible to cause on the microphone of part
Pulse sound, at this moment the correlation of microphone array element two-by-two will not be all very high, if relative coefficient is less than the first preset threshold
The case where CFTH, is unsatisfactory for prerequisite, and regards as noise.
Wherein steps are as follows for correlation analysis:
A. power spectrumanalysis is carried out to each channel time domain waveform of extraction, obtains each channel power spectrum waveform, calculation formula
It is as follows:
In formula, x (n) is sequence of time-domain samples, PXIt (w) is the power spectrum acquired, c (n) is window function.
B. channel power spectral correlative coefficient two-by-two is calculated, calculation formula is as follows:
In formula, variance is sought in cov () expression,Indicate each channel power spectrum.
C. the smallest related coefficient is extracted, judges whether to be less than threshold value CFTH, determines whether the signal extracted is wind noise.
Above-mentioned correlation analysis is carried out in frequency domain, is because each array element receives when acoustic array size is larger
The target acoustic signal time delay arrived is larger, directly asks related coefficient also smaller in time domain, is illustrated in figure 9 wherein 3 array elements and receives
It is corresponding power spectrum waveform that the same pulse sound arrived, which is 0.07, Figure 10 by calculating time domain least correlativing coefficient, by meter
Calculating frequency domain least correlativing coefficient is 0.98, so frequency domain correlation coefficient is demonstrated by array received to signal truth.
Optionally, if relative coefficient is greater than the first preset threshold CFTH, continue the pulse sound letter for determining each channel
Whether number length is greater than the second preset threshold, if the length of pulse acoustical signal is greater than the second preset threshold, it is believed that pulse sound letter
There are reverberation in number, are unsatisfactory for prerequisite, need to carry out reverberation elimination at this time.
The method that reverberation is eliminated specifically: regard reverberation space as a reverberation system, the pulse sound that sound source issues is done
For system input, by reflecting to form reverberation sound as the output of system, then the reverberation system model can be stated are as follows:
In formula, h (t) indicates the impulse response of reverberation system, and n (t) indicates that reverberation space environment noise, s (t) indicate to reach
The sound source pulse sound in reverberation space, x (t) indicate the reverberation sound of reverberation system output.
It can be seen that, reverberation system impulse response and sound-source signal are convolution relation in the time domain, to handle from above formula
Reflected sound is removed from sound-source signal must unlock this convolution relation, and cepstrum technology can linearly be divided convolution signal
From at additive signal signal is reflected in high frequency, so carrying out low pass filtered in cepstrum domain in cepstrum domain sound-source signal generally in low frequency
Dereverberation signal can be obtained in inverse transformation back signal after wave, and steps are as follows for calculating:
1. carries out Complex Cepstrum Transform to the waveform of Detection and Extraction, transformation for mula is as follows:
If the pulse sound sequence of time-domain samples of Detection and Extraction be x (k), k=1,2 ..., N, sequence length N, to sequence into
Row discrete Fourier transform:
Ask the amplitude A (k) and phase of X (k)
In formula, real () indicates to seek the real part of complex signal, and imag () indicates to seek the imaginary part of complex signal, to phaseIncome linearization process obtainsThen the cepstrum of x (k) may be expressed as:
2. carries out low-pass filtering to CX (k) and obtains signal LCX (k)；
3. carries out the signal after cepstrum inverse transformation obtains dereverberation to LCX (k)Inverse transformation process and cepstrum become
Process is changed to be omitted here on the contrary.
Take reverberation example as shown in figure 11 for actual pulse sound, as can be seen from the figure the former reverb signal duration compared with
It is long, it is able to restore original shorter pulse acoustical signal after dereverberation.
Optionally, however, it is determined that the pulse sound signal length in each channel is not more than the second preset threshold, that is, thinks that pulse sound is believed
Reverberation is not present in number, further determines that whether the signal-to-noise ratio of the pulse acoustical signal in each channel is greater than third predetermined threshold value, if really
The signal-to-noise ratio of the pulse acoustical signal in fixed each channel is greater than third predetermined threshold value, then it is assumed that main energetic concentrates on limited in a frequency domain
In the frequency range of bandwidth, that is, meet prerequisite, may thereby determine that the pulse acoustical signal detected is target acoustic signal, the target
Acoustical signal includes cannon sound, shot or explosive sound.
Wherein, judged whether main energetic concentrates on limited band in a frequency domain using frequency domain signal-to-noise ratio in the present embodiment
In wide frequency range, it is as follows to define frequency domain signal-to-noise ratio:
In formula, X (k) indicates that the discrete spectrum of the pulse sound extracted, N indicate discrete spectrum length, and Lf indicates pulse sound
Lower-frequency limit, Hf indicate the upper frequency limit of pulse sound.When condition FSNR > FSNRTH meets, final confirmation detects target arteries and veins
Rush acoustical signal.
Step 107 meets prerequisite determining, and determines that the pulse acoustical signal in each channel detected is target pulse
After acoustical signal, the target pulse acoustical signal is saved in caching, and records the start bit of the target pulse acoustical signal
It sets and end position, with the extraction for carrying out target pulse acoustical signal according to the initial position and the end position.
Step 108, after determining and being unsatisfactory for prerequisite, each channel pulse acoustical signal for will test out is removed, and is laid equal stress on
It is new to execute step 101.
The method of a kind of pulse acoustical signal processing provided in an embodiment of the present invention, including to channel each in microphone array
Pulse acoustical signal is sampled, and the sampling acoustical signal in each channel is obtained, and judges to make an uproar in the sampling acoustical signal with the presence or absence of strong background
Sound if so, first carrying out noise reduction process to the sampling acoustical signal, then calculates the frame energy of the sampling acoustical signal after noise reduction process
Amount；If it is not, the frame energy of the sampling acoustical signal is then directly calculated, according to the frame energy of the sampling acoustical signal and the sampling acoustical signal
Existence detect the pulse acoustical signal in each channel, compared with the existing technology, the embodiment of the present invention is in detection pulse sound letter
Number when can carry out noise reduction process, influence of the noise in environment to testing result can be effectively excluded, to promote detection
The probability and accuracy of pulse acoustical signal.
The embodiment of pulse acoustical signal processing device in the embodiment of the present invention is described below.
Figure 12 is please referred to, the first embodiment of the detection device of pulse acoustical signal includes: in the embodiment of the present invention
Sampling module 201 samples for the pulse acoustical signal to channel each in microphone array, obtains each channel
Sample acoustical signal；
Judgment module 202, for judging with the presence or absence of strong background noise in the sampling acoustical signal, if so, first to institute
It states sampling acoustical signal and carries out noise reduction process, then calculate the frame energy of the sampling acoustical signal after noise reduction process；If it is not, then directly
Calculate the frame energy of the sampling acoustical signal；
Optionally, judgment module 202 is specifically used for whether judging the time-domain signal for sampling acoustical signal in the present embodiment
There are periodicity, if so, frequency-domain transform is carried out to the time-domain signal of the sampling acoustical signal, if obtaining having harmonic relationships
Line spectrum then inhibits the line spectrum with harmonic relationships.
Detection module 203, for according to the frame energy of the sampling acoustical signal and the existence of the sampling acoustical signal
Detect the pulse acoustical signal in each channel.
Optionally, in the present embodiment, detection module 203 is specifically used for when the existence of the sampling acoustical signal being 0 or 1
When, if the frame energy of the sampling acoustical signal is greater than preset peak, it is determined that present sample acoustical signal is pulse acoustical signal,
And present sample acoustical signal is put into the second caching, record the initial point position of present sample acoustical signal；
If the frame energy of the sampling acoustical signal is greater than preset median and is less than preset peak, it is determined that current
Sampling acoustical signal is doubtful pulse acoustical signal, and re-execute the steps 1；
If the frame energy of the sampling acoustical signal is greater than preset minimum and is less than preset median, it is determined that current
Sampling acoustical signal is noise, and re-execute the steps 1；
When the existence of the sampling acoustical signal is 2, if the frame energy of the sampling acoustical signal is greater than in preset
Between value and be less than the peak that is set to, it is determined that present sample acoustical signal is pulse acoustical signal, and present sample acoustical signal is put
Enter in caching；
If the frame energy of the sampling acoustical signal is greater than preset minimum and is less than the median being set to, record is current
The end point position of acoustical signal is sampled, and is calculated currently according to the initial point position of present sample acoustical signal and end point position
Sample the length of acoustical signal；
When the existence of the sampling acoustical signal is 3, postponed according to the length of calculated present sample acoustical signal
Deposit middle extraction pulse acoustical signal.
3, Figure 13 is the structural schematic diagram of the second embodiment of pulse sound detection device of the present invention referring to Fig.1.
Based on the first embodiment of pulse sound signal supervisory instrument, the device further include:
First determining module 204 determines that the pulse acoustical signal in each channel detected is for when meeting prerequisite
Target pulse acoustical signal.
Second determining module 205, second determining module are used to determine whether to meet prerequisite, second determination
Module is specifically used for the relative coefficient of the pulse acoustical signal in any two channel in the pulse acoustical signal for determining each channel of detection
Whether the first preset threshold is greater than, if not, it is determined that be unsatisfactory for prerequisite；If so, determining the pulse acoustical signal in each channel
Whether length is greater than the second preset threshold, if not, it is determined that is unsatisfactory for prerequisite；If so, determining the pulse sound in each channel
Whether the signal-to-noise ratio of signal is greater than third predetermined threshold value, if not, it is determined that is unsatisfactory for prerequisite, meets in advance if so, determining
Set condition.
Preserving module 206, the preserving module are used for after determination meets prerequisite, and the target pulse sound is believed
It number is saved in caching, and records initial position and the end position of the target pulse acoustical signal, for being risen according to described
The extraction of beginning position and end position progress target pulse acoustical signal；
Module 207 is removed, for after determination is unsatisfactory for prerequisite, each channel pulse acoustical signal that will test out to be clear
It removes.
The above, the above embodiments are merely illustrative of the technical solutions of the present invention, rather than its limitations；Although referring to before
Stating embodiment, invention is explained in detail, those skilled in the art should understand that: it still can be to preceding
Technical solution documented by each embodiment is stated to modify or equivalent replacement of some of the technical features；And these
It modifies or replaces, the spirit and scope for technical solution of various embodiments of the present invention that it does not separate the essence of the corresponding technical solution.
Claims (10)
1. a kind of detection method of pulse acoustical signal, which comprises the steps of:
Step 1: the pulse acoustical signal in channel each in microphone array being sampled, the sampling acoustical signal in each channel is obtained；
Step 2: judge in the sampling acoustical signal with the presence or absence of strong background noise, if so, first to the sampling acoustical signal into
Row noise reduction process, then calculate the frame energy of the sampling acoustical signal after noise reduction process；If it is not, then directly calculating the sampling sound
The frame energy of signal；
Step 3: each channel is detected according to the existence of the frame energy of the sampling acoustical signal and the sampling acoustical signal
Pulse acoustical signal；
When the existence of the sampling acoustical signal is 0 or 1, if the frame energy of the sampling acoustical signal is greater than preset highest
Value, it is determined that present sample acoustical signal is pulse acoustical signal, and present sample acoustical signal is put into the second caching, and record is current
Sample the initial point position of acoustical signal；If it is described sampling acoustical signal frame energy be greater than preset median and be less than it is preset most
High level, it is determined that present sample acoustical signal is doubtful pulse acoustical signal, and re-execute the steps 1；If the sampling acoustical signal
Frame energy is greater than preset minimum and is less than preset median, it is determined that present sample acoustical signal is noise, and is held again
Row step 1；
When the existence of the sampling acoustical signal is 2, if the frame energy of the sampling acoustical signal is greater than preset median
And it is less than the peak that is set to, it is determined that present sample acoustical signal is pulse acoustical signal, and present sample acoustical signal is put into slow
In depositing；If the frame energy of the sampling acoustical signal is greater than preset minimum and is less than the median being set to, record is currently adopted
The end point position of sample acoustical signal, and calculated according to the initial point position of present sample acoustical signal and end point position and currently adopted
The length of sample acoustical signal；
When the existence of the sampling acoustical signal is 3, according to the length of calculated present sample acoustical signal from caching
Extract pulse acoustical signal.
2. the method according to claim 1, wherein according to the frame energy of the sampling acoustical signal and described adopting
The existence of sample acoustical signal detects after the pulse acoustical signal in each channel, further includes: when meeting prerequisite, determines detection
The pulse acoustical signal in each channel out is target pulse acoustical signal.
3. according to the method described in claim 2, determination detects each it is characterized in that, described when meeting prerequisite
Before the pulse acoustical signal in channel is target pulse acoustical signal further include: determine whether to meet prerequisite；
It is described to determine whether that meeting prerequisite includes:
Determine whether the relative coefficient of the pulse acoustical signal in any two channel in the pulse acoustical signal in each channel of detection is greater than
First preset threshold, if not, it is determined that be unsatisfactory for prerequisite；If so, determine each channel pulse sound signal length whether
Greater than the second preset threshold, if so, determination is unsatisfactory for prerequisite；If not, it is determined that the letter of the pulse acoustical signal in each channel
It makes an uproar than whether being greater than third predetermined threshold value, if not, it is determined that prerequisite is unsatisfactory for, if so, determination meets prerequisite.
4. according to the method described in claim 3, it is characterized in that, the method also includes: when meeting prerequisite, really
The pulse acoustical signal in each channel that regular inspection is measured be target pulse acoustical signal after, the target pulse acoustical signal is saved in slow
In depositing, and initial position and the end position of the target pulse acoustical signal are recorded, for according to the initial position and institute
State the extraction that end position carries out target pulse acoustical signal；
After determination is unsatisfactory for prerequisite, each channel pulse acoustical signal that will test out is removed, and re-execute the steps 1.
5. the method according to claim 1, wherein with the presence or absence of strong back in the judgement sampling acoustical signal
Scape noise, if so, first including: to sampling acoustical signal progress noise reduction process
Judge that the time-domain signal of the sampling acoustical signal whether there is periodically, if so, to the time domain of the sampling acoustical signal
Signal carries out frequency-domain transform and inhibits if obtaining the line spectrum with harmonic relationships to the line spectrum with harmonic relationships.
6. a kind of detection device of pulse acoustical signal characterized by comprising
Sampling module is sampled for the pulse acoustical signal to channel each in microphone array, obtains the sampling sound in each channel
Signal；
Judgment module, for judging with the presence or absence of strong background noise in the sampling acoustical signal, if so, first to the sampling sound
Signal carries out noise reduction process, then calculates the frame energy of the sampling acoustical signal after noise reduction process；If it is not, described in then directly calculating
Sample the frame energy of acoustical signal；
Detection module, for being detected respectively according to the frame energy of the sampling acoustical signal and the existence of the sampling acoustical signal
The pulse acoustical signal in channel；
When the existence of the sampling acoustical signal is 0 or 1, if the frame energy of the sampling acoustical signal is greater than preset highest
Value, it is determined that present sample acoustical signal is pulse acoustical signal, and present sample acoustical signal is put into the second caching, and record is current
Sample the initial point position of acoustical signal；If it is described sampling acoustical signal frame energy be greater than preset median and be less than it is preset most
High level, it is determined that present sample acoustical signal is doubtful pulse acoustical signal, and re-execute the steps 1；If the sampling acoustical signal
Frame energy is greater than preset minimum and is less than preset median, it is determined that present sample acoustical signal is noise, and is held again
Row step 1；
When the existence of the sampling acoustical signal is 2, if the frame energy of the sampling acoustical signal is greater than preset median
And it is less than the peak that is set to, it is determined that present sample acoustical signal is pulse acoustical signal, and present sample acoustical signal is put into slow
In depositing；If the frame energy of the sampling acoustical signal is greater than preset minimum and is less than the median being set to, record is currently adopted
The end point position of sample acoustical signal, and calculated according to the initial point position of present sample acoustical signal and end point position and currently adopted
The length of sample acoustical signal
When the existence of the sampling acoustical signal is 3, according to the length of calculated present sample acoustical signal from caching
Extract pulse acoustical signal.
7. device according to claim 6, which is characterized in that described device further includes the first determining module, and described first
Determining module, for when meeting prerequisite, determining that the pulse acoustical signal in each channel detected is target pulse acoustical signal.
8. device according to claim 7, which is characterized in that described device further includes the second determining module, and described second
Determining module is used to determine whether to meet prerequisite, arteries and veins of second determining module specifically for each channel of determining detection
Whether the relative coefficient for rushing the pulse acoustical signal in any two channel in acoustical signal is greater than the first preset threshold, if not, it is determined that
It is unsatisfactory for prerequisite；If so, determining whether the pulse sound signal length in each channel is greater than the second preset threshold, if it is not, then
Determination is unsatisfactory for prerequisite；If so, determine whether the signal-to-noise ratio of the pulse acoustical signal in each channel is greater than third predetermined threshold value,
If not, it is determined that prerequisite is unsatisfactory for, if so, determination meets prerequisite.
9. device according to claim 8, which is characterized in that described device further includes preserving module and removing module, institute
Preserving module is stated for the target pulse acoustical signal being saved in caching, and is recorded after determination meets prerequisite
The initial position of the target pulse acoustical signal and end position, with for according to the initial position and the end position into
The extraction of row target pulse acoustical signal；The removing module is used for after determination is unsatisfactory for prerequisite, and what be will test out is each
Channel pulse acoustical signal is removed.
10. device according to claim 6, which is characterized in that the judgment module is specifically used for judging the sampling sound
The time-domain signal of signal whether there is periodically, if so, frequency-domain transform is carried out to the time-domain signal of the sampling acoustical signal, if
The line spectrum with harmonic relationships is obtained, then the line spectrum with harmonic relationships is inhibited.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610384117.3A CN106052852B (en) | 2016-06-01 | 2016-06-01 | A kind of detection method and device of pulse acoustical signal |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610384117.3A CN106052852B (en) | 2016-06-01 | 2016-06-01 | A kind of detection method and device of pulse acoustical signal |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN106052852A CN106052852A (en) | 2016-10-26 |
| CN106052852B true CN106052852B (en) | 2019-03-08 |
Family
ID=57171853
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201610384117.3A Active CN106052852B (en) | 2016-06-01 | 2016-06-01 | A kind of detection method and device of pulse acoustical signal |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN106052852B (en) |
Families Citing this family (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106443203B (en) * | 2016-11-15 | 2019-04-09 | 中国电子科技集团公司第四十一研究所 | A kind of pulse signal detection system and method |
| CN106949959B (en) * | 2017-03-17 | 2019-10-01 | 江苏大学 | A kind of method of impulse response signal sound intersity measurement |
| CN107862279B (en) * | 2017-11-03 | 2020-04-07 | 中国电子科技集团公司第三研究所 | Pulse acoustic signal identification and classification method |
| CN108830128A (en) * | 2018-03-28 | 2018-11-16 | 中南大学 | The low-frequency oscillation of electric power system modal identification method decomposed based on noise-like signal VMD |
| EP3712577B1 (en) * | 2019-03-22 | 2023-07-26 | ABB Schweiz AG | Apparatus for equipment monitoring |
| CN111314536B (en) * | 2020-01-21 | 2021-08-10 | 上海万物新生环保科技集团有限公司 | Method and equipment for detecting listening module of terminal equipment |
| CN112069483A (en) * | 2020-09-14 | 2020-12-11 | 中国科学技术大学 | User identification and authentication method of intelligent wearable device |
| CN112855270B (en) * | 2021-01-21 | 2021-12-07 | 中国矿业大学(北京) | Mine explosion disaster sound identification and alarm method based on sound frame energy |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101937675A (en) * | 2009-06-29 | 2011-01-05 | 展讯通信（上海）有限公司 | Voice detection method and equipment thereof |
| US8239194B1 (en) * | 2011-07-28 | 2012-08-07 | Google Inc. | System and method for multi-channel multi-feature speech/noise classification for noise suppression |
| CN103165137A (en) * | 2011-12-19 | 2013-06-19 | 中国科学院声学研究所 | Speech enhancement method of microphone array under non-stationary noise environment |
| CN104157295A (en) * | 2014-08-22 | 2014-11-19 | 中国科学院上海高等研究院 | Method used for detecting and suppressing transient noise |
-
2016
- 2016-06-01 CN CN201610384117.3A patent/CN106052852B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101937675A (en) * | 2009-06-29 | 2011-01-05 | 展讯通信（上海）有限公司 | Voice detection method and equipment thereof |
| US8239194B1 (en) * | 2011-07-28 | 2012-08-07 | Google Inc. | System and method for multi-channel multi-feature speech/noise classification for noise suppression |
| CN103165137A (en) * | 2011-12-19 | 2013-06-19 | 中国科学院声学研究所 | Speech enhancement method of microphone array under non-stationary noise environment |
| CN104157295A (en) * | 2014-08-22 | 2014-11-19 | 中国科学院上海高等研究院 | Method used for detecting and suppressing transient noise |
Non-Patent Citations (1)
| Title |
|---|
| 一种水下有源噪声抵消系统的设计;伭炜 等;《压电与声光》;20081030;第30卷(第5期);第544-546页 |
Also Published As
| Publication number | Publication date |
|---|---|
| CN106052852A (en) | 2016-10-26 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106052852B (en) | A kind of detection method and device of pulse acoustical signal | |
| EP3703052B1 (en) | Echo cancellation method and apparatus based on time delay estimation | |
| EP1450354A1 (en) | System for suppressing wind noise | |
| CN105872156A (en) | Echo time delay tracking method and device | |
| CN110135316A (en) | The automatic detection and extracting method of low frequency spectrum lines in a kind of ship-radiated noise | |
| CN113567969B (en) | Illegal sand dredger automatic monitoring method and system based on underwater acoustic signals | |
| Gervaise et al. | Automatic detection of bioacoustics impulses based on kurtosis under weak signal to noise ratio | |
| CN110568073B (en) | Method for picking up impact signal in noise environment | |
| CN112255607B (en) | Sea clutter suppression method | |
| CN111755025B (en) | State detection method, device and equipment based on audio features | |
| CN110542927B (en) | Variable window weighted seismic data spike noise suppression method | |
| CN111929666A (en) | Weak underwater sound target line spectrum autonomous extraction method based on sequential environment learning | |
| Bueno et al. | VINEDA—volcanic INfrasound explosions detector algorithm | |
| CN111462770A (en) | L STM-based late reverberation suppression method and system | |
| CN114927141B (en) | Method and system for detecting abnormal underwater acoustic signals | |
| Lu et al. | Speech endpoint detection in strong noisy environment based on the Hilbert-Huang transform | |
| CN106382978A (en) | Automatic target detection method for submarine sound signal generated through time-varying ship excitation | |
| Hood et al. | Improved passive acoustic band-limited energy detection for cetaceans | |
| Adam | Segmentation of killer whale vocalizations using the Hilbert-Huang transform | |
| US7012854B1 (en) | Method for detecting emitted acoustic signals including signal to noise ratio enhancement | |
| Johansson et al. | Detection and characterization of marine mammal calls by parametric modelling | |
| Urazghildiiev et al. | Acoustic detection and recognition of fin whale and North Atlantic right whale sounds | |
| CN107730494A (en) | A kind of anchor pole detection method based on variation mode decomposition | |
| Peng et al. | Research on Underwater Transient Signal Denoising Algorithm Under low SNR | |
| CN115150009A (en) | Dolphin echo positioning signal detection method applied to PAM system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| CB03 | Change of inventor or designer information |
Inventor after: Wang Zhifeng Inventor after: Zhang Hao Inventor after: Luo Xiaosong Inventor after: Li Zhiyu Inventor after: Jiang Li Inventor after: Yang Bo Inventor after: Song Miao Inventor after: Huang Rong Inventor after: Zhang Sifan Inventor after: Cai Ming Inventor after: Wan Zhong Inventor before: Wang Zhifeng Inventor before: Luo Xiaosong Inventor before: Li Zhiyu Inventor before: Jiang Li Inventor before: Yang Bo Inventor before: Huang Rong Inventor before: Zhang Sifan Inventor before: Cai Ming Inventor before: Wan Zhong Inventor before: Zhang Hao |
|
| COR | Change of bibliographic data | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |